1. Generative AI in search of business models

The explosion of generative artificial intelligence leaves open questions about the availability of information, the business models and use cases that will really justify its application in the economy and, of course, the ethical implications of its generalisation.

The popular explosion of so-called generative artificial intelligence (AI), which is rapidly becoming a the biggest mass membership phenomenon since the birth of the internetThe report was accompanied by strong warnings about its transformative potential.

Never before have computing power and the possibilities of data capture, storage and analysis been so powerful and able to project neural network-based AI models to the whole of society.

Since 2018 there has been a 94.4% of improvement in training speed for models and the relative number of patents filed in 2021 is 30 times that of 2015, resulting in a compound annual growth rate of 76.9%. AI has taken on the role of an enabler of all new technologies being deployed in the market..

A few loose ends to be covered

However, there are still some gaps to be filled by innovation. The potential of data management is enormous, but the quality and availability of information is not up to the task. The economy has to find business models and use cases that justify the incorporation of generative AI beyond areas where visual or written language is a critical piece.

The vulnerabilities cybersecurity, access to private information on individuals and companies, and even the ethical dimension of the new discourse-creating models, represent a real challenge if it is to become the lever of a paradigm shift in the human-machine relationship.